avocado | Metadata APIs for Django | REST library

 by   chop-dbhi Python Version: 2.4.0 License: Non-SPDX

kandi X-RAY | avocado Summary

kandi X-RAY | avocado Summary

avocado is a Python library typically used in Web Services, REST applications. avocado has no bugs, it has no vulnerabilities, it has build file available and it has low support. However avocado has a Non-SPDX License. You can download it from GitHub.

Metadata APIs for Django.
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            kandi-support Support

              avocado has a low active ecosystem.
              It has 41 star(s) with 11 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 215 have been closed. On average issues are closed in 1008 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of avocado is 2.4.0

            kandi-Quality Quality

              avocado has 0 bugs and 0 code smells.

            kandi-Security Security

              avocado has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              avocado code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              avocado has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              avocado releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed avocado and discovered the below as its top functions. This is intended to give you an instant insight into avocado implemented functionality, and help decide if they suit your requirements.
            • Returns the result rows of the query
            • Format a row
            • Check the header of the row
            • Read rows from iterable
            • Create migrations
            • Return True if f is a lexicon field
            • Return True if f is an objectset
            • Handles actions
            • Import a subcommand by name
            • Validate a field
            • Apply filters to the query
            • Decorator to cache a method
            • Process fields
            • Return the published concepts
            • Execute a SQL query and format the result
            • Translates the given field
            • Validate the operator
            • Register a model
            • Register an object
            • Cancels a job
            • Validates the concept
            • Write iterable to file
            • Write data to the exporter
            • Retrieve the results of a query
            • Write an iterable to a script
            • Calculate the weighted counts of a set of points
            Get all kandi verified functions for this library.

            avocado Key Features

            No Key Features are available at this moment for avocado.

            avocado Examples and Code Snippets

            No Code Snippets are available at this moment for avocado.

            Community Discussions

            QUESTION

            R: Conditional formatting a column with percentage(%) value
            Asked 2022-Mar-17 at 09:01

            I will need to do color conditional formatting for 1 particular column, format it to percentage, and export the file as .xlsx. Note that I have 5 data frames that I will run this rule code with, and compile them into 1 workbook each in different sheets. I am stuck on the part where I can't seem to set the conditional rule if I formatted the percentage in it. And vice versa, if I conditional format it first, I'm not sure how I can format percentage for that column. Please refer to my code below.

            ...

            ANSWER

            Answered 2022-Mar-17 at 09:01

            You don't need to use label_percent from scales package. You can apply the percentage format along with the color rules to the workbook by using style and then addStyle functions. Another thing, I found in the documented examples of conditionalFormatting that you don't need to specify the column name (such as C) in the rule argument if your rule apply to only one column with no relation to values in another column.

            Here is the code that I used:

            Source https://stackoverflow.com/questions/71506706

            QUESTION

            How to intersect rows containing an array for a dataframe in pyspark
            Asked 2022-Mar-16 at 18:53

            I have a dataframe

            ...

            ANSWER

            Answered 2022-Mar-16 at 18:53

            You can use aggregate and array_intersect, along with collect_set to compute the intersection on list_of_fruits and collected_tokens to obtain intersection_list_of_fruits and intersection_collected_tokens.

            However, since intersection_most_common_word needs to account for the count of the words. To do this,

            1. Find the intersections of words excluding counts
            2. Iterate over the intersection words and the collect arrays in most_common_word and find the minimum count

            Source https://stackoverflow.com/questions/71497384

            QUESTION

            Matplotlib variable subplots dimension IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
            Asked 2022-Mar-11 at 17:09

            Within a loop, I need to be able to produce figures with both 2 * 1 or 2 * n subplots. below the code I am using which throw an error when the list of commodities has length = 1.

            ...

            ANSWER

            Answered 2022-Mar-11 at 17:09

            QUESTION

            Find how often products are sold together in Python DataFrame
            Asked 2022-Feb-28 at 17:42

            I have a dataframe that is sturctured like below, but with 300 different products and about 20.000 orders.

            Order Avocado Mango Chili 1546 500 20 0 861153 200 500 5 1657446 500 20 0 79854 200 500 1 4654 500 20 0 74654 0 500 800

            I found out what combinations are often together with this code (abbrivated here to 3 products).

            ...

            ANSWER

            Answered 2022-Feb-28 at 17:42

            First we replace actual quantities by 1s and 0s to indicate if the products were in the order or not:

            Source https://stackoverflow.com/questions/71298527

            QUESTION

            Iterate over global data subfolder in Eleventy / 11ty
            Asked 2022-Feb-20 at 15:50

            I'm using Eleventy and have created the subfolder yummy in my global data folder, that contains the following files:

            ...

            ANSWER

            Answered 2022-Feb-20 at 15:46

            Managed to solve this myself by adding a second loop.

            Source https://stackoverflow.com/questions/71195379

            QUESTION

            I can't unblock the error "Exception: Please select an active sheet first."
            Asked 2022-Feb-16 at 12:34

            I'm doing the Fundamentals of Apps Script course by Google and I'm encountering the following error:

            "Exception: Please select an active sheet first. duplicateAndOrganizeActiveSheet @ Code.gs:7"

            I've literally just pasted what the instructions said, so I don't understand what I'm doing wrong. The instructions said to paste the following code and run the function called "duplicateAndOrganizeActiveSheet()" to duplicate the active sheet.

            ...

            ANSWER

            Answered 2022-Feb-16 at 12:34
            Issue and solution:

            First, I think that your script has no issue.

            From your error message of "Exception: Please select an active sheet first. duplicateAndOrganizeActiveSheet @ Code.gs:7", I thought that in your situation, the link of the container-bound script (I think that in this case, it's script editor.) and Google Spreadsheet might be broken. For example, when such a situation occurs, an error like Please select an active sheet first. occurs.

            In this case, please close Google Spreadsheet and the script editor. And, please open Google Spreadsheet and open the script editor, and run duplicateAndOrganizeActiveSheet again.

            If this solution couldn't resolve the issue of Please select an active sheet first., please create a new Google Spreadsheet, open the script editor of the created Google Spreadsheet, please copy and paste your script, and run the script again.

            Source https://stackoverflow.com/questions/71141709

            QUESTION

            Pandas merging connected groups from multiple columns
            Asked 2022-Feb-09 at 17:34

            How can I group rows which have at least one value in common? I can pass multiple columns to groupby but I want any one of them to be considered, not all of them.

            Sample code:

            ...

            ANSWER

            Answered 2022-Feb-09 at 10:49

            You problem seems to be a graph problem.

            finding the groups per column

            First, lets see which rows are grouped per column

            Source https://stackoverflow.com/questions/71047209

            QUESTION

            how to repeat the height for grid-auto-rows
            Asked 2022-Feb-08 at 22:51

            I am trying to show only the first two rows of a CSS GRID.
            The width of the container is unknown therefore it should be responsive.
            Also the content of each box is unknown.

            My current hacky solution is to define the following two rules:

            • use an automatic height for the first two rows
            • set the height of the next 277 rows to 0 height

            grid-auto-rows: auto auto 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;

            I tried repeat() like this: grid-auto-rows: auto auto repeat(277, 0px) but unfortunately it didn't set the height to 0.

            Is there any clean way to repeat height 0?

            ...

            ANSWER

            Answered 2022-Feb-07 at 21:16

            Define a template for the two rows and then use grid-auto-rows with 0

            Source https://stackoverflow.com/questions/71021608

            QUESTION

            How to print specific data based on its rank in data frame
            Asked 2022-Feb-08 at 09:40

            I have data of cooking oil and its boiling temp and ranked it by highest boiling temp

            ...

            ANSWER

            Answered 2022-Feb-08 at 09:40

            If need all joined values first aggregate join and then loop in Series:

            Source https://stackoverflow.com/questions/71031347

            QUESTION

            Ranking in python dataframe
            Asked 2022-Feb-06 at 04:25

            I have data of cooking oil and its boiling temp and try to rank it by higher boiling temp. I'm using these code below:

            ...

            ANSWER

            Answered 2022-Feb-06 at 04:25

            An interesting thing about the rank function is that if there is a tie between N previous records for the value in the column, the rank function skips the next N-1 positions before incrementing the counter.

            However the dense rank function does not skip any ranks if there is a tie between the ranks of the preceding records

            Addition to what @bb1 has suggested -

            Source https://stackoverflow.com/questions/71004040

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install avocado

            You can download it from GitHub.
            You can use avocado like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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